A Novel Neuropredictive SAR ADC Architecture for Ultra-Low Power Applications

Spielberger A, Pfannenmüller C, Spitzkopf L, Armbrecht W, Schrotz AM, Weigel R, Franchi N (2025)

Publication Language: English

Publication Status: Accepted

Publication Type: Unpublished / Preprint

Future Publication Type: Conference contribution

Publication year: 2025

Event location: Lansing, Michigan

Abstract

This paper proposes a new type of neuromophic analog to digital converter, the neuropredictive SAR ADC. By estimation of the next input value using a neuromorphic predictor, the conversion time of a modified SAR ADC and thus the energy consumption of the ADC can be reduced. A demonstrator designed for audio signals shows an energy saving of 41.09% compared to conventional SAR sampling. This ADC architecture is an alternative for ultra-low power applications.

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How to cite

APA:

Spielberger, A., Pfannenmüller, C., Spitzkopf, L., Armbrecht, W., Schrotz, A.-M., Weigel, R., & Franchi, N. (2025). A Novel Neuropredictive SAR ADC Architecture for Ultra-Low Power Applications. (Unpublished, Accepted).

MLA:

Spielberger, Alexander, et al. A Novel Neuropredictive SAR ADC Architecture for Ultra-Low Power Applications. Unpublished, Accepted. 2025.

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